Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Tiegang Sun"'
Autor:
Shumin Feng, Keren Dai, Tiegang Sun, Jin Deng, Guangmin Tang, Yakun Han, Weijia Ren, Xiaoru Sang, Chenwei Zhang, Hao Wang
Publikováno v:
Remote Sensing, Vol 16, Iss 18, p 3457 (2024)
Mining-induced subsidence poses a serious hazard to the surrounding environment and infrastructure, necessitating the detection of such subsidence for effective disaster mitigation and the safeguarding of local residents. Fucheng 1 is the first high-
Externí odkaz:
https://doaj.org/article/f45ca72fa8be41cabf62120e959caa90
Autor:
Xiao Wang, Di Wang, Chenghao Liu, Mengmeng Zhang, Luting Xu, Tiegang Sun, Weile Li, Sizhi Cheng, Jianhui Dong
Publikováno v:
Remote Sensing, Vol 16, Iss 17, p 3119 (2024)
Landslides are most severe in the mountainous regions of southwestern China. While landslide identification provides a foundation for disaster prevention operations, methods for utilizing multi-source data and deep learning techniques to improve the
Externí odkaz:
https://doaj.org/article/a9ab61541fce421a8f58f4bc133546a7
Autor:
Xiao Wang, Di Wang, Mengmeng Zhang, Xiaochuan Song, Luting Xu, Tiegang Sun, Weile Li, Sizhi Cheng, Jianhui Dong
Publikováno v:
Remote Sensing, Vol 16, Iss 12, p 2206 (2024)
Landslide susceptibility prediction usually involves the comprehensive analysis of terrain and other factors that may be distributed with spatial patterns. Without considering the spatial correlation and mutual influence between pixels, conventional
Externí odkaz:
https://doaj.org/article/5b1c03cb634d4b7393e0451188e8b68d
Autor:
Xiao Wang, Di Wang, Xinyue Li, Mengmeng Zhang, Sizhi Cheng, Shaoda Li, Jianhui Dong, Luting Xu, Tiegang Sun, Weile Li, Peilian Ran, Liang Liu, Baojie Wang, Ling Zhao, Xinyi Huang
Publikováno v:
Remote Sensing, Vol 16, Iss 2, p 347 (2024)
Considering the great time and labor consumption involved in conventional hazard assessment methods in compiling landslide inventory, the construction of a transferable landslide susceptibility prediction model is crucial. This study employs UAV imag
Externí odkaz:
https://doaj.org/article/38216c74a75446afb0ad2d952058211d
Autor:
Xiao Wang, Di Wang, Tiegang Sun, Jianhui Dong, Luting Xu, Weile Li, Shaoda Li, Peilian Ran, Jinxi Ao, Yulan Zou, Jing Wang, Xinnian Zeng
Publikováno v:
Remote Sensing, Vol 15, Iss 21, p 5213 (2023)
Currently, the application of remote sensing technology in landslide identification and investigation is an important research direction in the field of landslides. To address the errors arising from the inaccurate extraction of texture and location
Externí odkaz:
https://doaj.org/article/93cd46c9f0ab454bb9ec1a948750520d
Autor:
Xiao Wang, Shiqi Zhang, Hu Zhang, Di Wang, Maoyang Bai, Weile Li, Shaoda Li, Tiegang Sun, Yi Wang
Publikováno v:
Bulletin of Engineering Geology and the Environment. 82
Publikováno v:
Journal of Building Engineering. 71:106498
Publikováno v:
Water; Volume 15; Issue 7; Pages: 1398
Remote sensing is widely used for lake-water-quality monitoring, but the inversion of the total nitrogen (TN) and total phosphorus (TP) of rivers and non-optical parameters is still a difficult problem. The use of high spatial and temporal resolution
Publikováno v:
Optics Communications. 410:191-196
We investigate the influence of gain fiber on dissipative soliton pairs in passively mode-locked (PML) fiber laser based on black phosphorus (BP) as a saturable absorber. Numerical simulations show that we can generate the dissipative soliton pairs i
Publikováno v:
Sixth International Conference on Optical and Photonic Engineering (icOPEN 2018).
The design of birefringent photonic crystal fiber sensor based on the surface plasmon resonance model is proposed in this paper. This sensor utilizes circular air holes to introduce birefringence into the structure. The effect of geometric parameters